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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerDede' Luca
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorMATH-05/A - Numerical Analysis
Curriculum VitaeDownload CV (557.47Kb - 04/01/2024)
OrcIDhttps://orcid.org/0000-0002-6558-8277

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica (Campus Leonardo), Edificio 14 6627MondayFrom 10:15
To 11:15
4642---Appointment by e-mail only
E-mailluca.dede@polimi.it
Personal websitehttps://mox.polimi.it/people/people-details/?id_staff=551&nome_staff=Luca%20Dede%27

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Ordinal Discriminative Dimensionality Reduction of Functional Profiles (Show >>)
Journal Articles
A Multi-Age Multi-Group Epidemiological Model and Its Validation on the COVID-19 Epidemic in Italy: SEIHRDV (Show >>)
A software benchmark for cardiac elastodynamics (Show >>)
Defining myocardial fiber bundle architecture in atrial digital twins (Show >>)
Discovering artificial viscosity models for discontinuous Galerkin approximation of conservation laws using physics-informed machine learning (Show >>)
Two New Calibration Techniques of Lumped‐Parameter Mathematical Models for the Cardiovascular System (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
A detailed mathematical model of the human atrial cardiomyocyte: Integration of electrophysiology and cardiomechanics (Show >>)
Contributions on scientific books
Deep Learning-Based Reduced Order Models for Cardiac Electrophysiology (Show >>)
Conference proceedings
Advanced multiphysics and multiscale cardiac models: bridging numerical simulations with digital twins for human heart simulation (Show >>)
Journal Articles
A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data (Show >>)
A deep learning algorithm to accelerate algebraic multigrid methods in finite element solvers of 3D elliptic PDEs (Show >>)
A detailed mathematical model of the human atrial cardiomyocyte: integration of electrophysiology and cardiomechanics (Show >>)
A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system (Show >>)
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart (Show >>)
An integrated heart–torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation (Show >>)
Appraisal of partial anomalous pulmonary venous drainage through a lumped-parameter mathematical model: a new pathophysiological proof of concept (Show >>)
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks (Show >>)
The role of computational methods in cardiovascular medicine: a narrative review (Show >>)
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations (Show >>)
lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
PO-01-210 STROKE RISK IS IDENTIFIED BY SLOW BLOOD FLOW AND STAGNANT BLOOD PARTICLES IN THE LEFT ATRIUM (Show >>)
Journal Articles
A Computational Study of Blood Flow Dynamics in the Pulmonary Arteries (Show >>)
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics (Show >>)
A comprehensive mathematical model for cardiac perfusion (Show >>)
A computational model of cell viability and proliferation of extrusion-based 3D-bioprinted constructs during tissue maturation process (Show >>)
A machine learning approach to enhance the SUPG stabilization method for advection-dominated differential problems (Show >>)
A mathematical model of the human heart suitable to address clinical problems (Show >>)
A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart (Show >>)
A matrix–free high–order solver for the numerical solution of cardiac electrophysiology (Show >>)
Accelerating Algebraic Multigrid Methods via Artificial Neural Networks (Show >>)
Discontinuous Galerkin methods for Fisher-Kolmogorov equation with application to α-synuclein spreading in Parkinson's disease (Show >>)
Fast and robust parameter estimation with uncertainty quantification for the cardiac function (Show >>)
Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface method (Show >>)
Numerical modeling of the brain poromechanics by high-order discontinuous Galerkin methods (Show >>)
Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario (Show >>)
Partitioned and Monolithic Algorithms for the Numerical Solution of Cardiac Fluid-Structure Interaction (Show >>)
Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics (Show >>)
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations (Show >>)
lifex-fiber: an open tool for myofibers generation in cardiac computational models (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Novel Human Atrial Electromechanical Cardiomyocyte Model with Mechano-Calcium Feedback Effect (Show >>)
A physiologically detailed 3D-0D closed-loop model for the simulation of cardiac electromechanics (Show >>)
An electromechanical model of the entire human heart coupled with a lumped parameters model of the circulatory system (Show >>)
Deep learning-based reduced order models in cardiac electrophysiology (Show >>)
Effects of atrial fibrillation on the left atrium hemodynamics (Show >>)
Electromechanical modeling of cardiac arrhythmias (Show >>)
Integrated fluid-structure-electrophysiology computational modeling of a healthy human heart (Show >>)
Machine learning based real-time simulation of the cardiac electromechanical function enabling global sensitivity analysis and bayesian parameter estimation (Show >>)
Modeling Whole Heart Muscle Fibers in Cardiac Computational Models (Show >>)
Multiphysics and multiscale models for the numerical simulation of the cardiac function (Show >>)
Neural networks based real-time simulations of cardiac electromechanics (Show >>)
Non-intrusive and mesh-free neural network models of parametrized differential equations with variable geometry (Show >>)
Journal Articles
3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics (Show >>)
A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels (Show >>)
A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation (Show >>)
A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations (Show >>)
A geometric multiscale model for the numerical simulation of blood flow in the human left heart (Show >>)
A machine learning method for real-time numerical simulations of cardiac electromechanics (Show >>)
Impact of atrial fibrillation on left atrium haemodynamics: a computational fluid dynamics study (Show >>)
Modeling the cardiac electromechanical function: A mathematical journey (Show >>)
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model (Show >>)
Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation (Show >>)
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
COMPUTER-IMPLEMENTED METHOD FOR THE GENERATION OF A MATHEMATICAL MODEL WITH REDUCED COMPUTATIONAL COMPLEXITY (Show >>)
Conference proceedings
Electro-Mechanical Coupling in Human Atrial Cardiomyocytes: Model Development and Analysis of Inotropic Interventions (Show >>)
Modelling cardiac muscle fibers in electro-mechanical simulations (Show >>)
Journal Articles
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs (Show >>)
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation (Show >>)
A mathematical dashboard for the analysis of Italian COVID-19 epidemic data (Show >>)
Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction (Show >>)
Characterization of cardiac electrogram signals in atrial arrhythmias (Show >>)
Computational fluid dynamics of blood flow in an idealized left human heart (Show >>)
Data integration for the numerical simulation of cardiac electrophysiology (Show >>)
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia (Show >>)
Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical method (Show >>)
Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model (Show >>)
Mathematical and numerical models for the cardiac electromechanical function (Show >>)
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations (Show >>)
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study (Show >>)
Multipatch Isogeometric Analysis for electrophysiology: Simulation in a human heart (Show >>)
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks (Show >>)
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium (Show >>)
SUIHTER : a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy (Show >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
26/04/2025